PHP & Web Development Blogs

Today’s digital transformation has significantly empowered every company to produce accurate information at all touch points. Whether it’s a large-scale enterprise or a small private venture, every organization irrespective of all sizes needs proper web app development services to build a sophisticated database for storing and managing its data. Examples of web applications include customer relationship management (CRM) systems, project management tools, and e-commerce platforms. These custom software developers play a crucial role in tailoring web applications to meet specific business needs, ensuring seamless integration and optimal functionality.

A database is a set of a vast range of structured & unstructured data stored in a system and adequately managed through DBMS or Database Management System. The data stored in the database is highly sensitive, hence companies need to be careful while accessing any data or information.

When considering the development of web applications, partnering with a reputable web development firm is essential to ensure the seamless integration and efficient management of databases. A skilled web development firm possesses the expertise to optimize database systems, enhancing data organization, security, and retrieval processes for an enhanced user experience. In this article, we will delve into the top database solutions for web applications in 2024 and explore the advantages they bring to the forefront of modern software development.

Types of Databases For Web Applications

Depending on your business model, industry domain, and other factors, your business application system will have certain requirements. Different databases types are used for different enterprise requirements. However, the database is technically divided into two types: SQL & NoSQL.

SQL or Structured Query Language is a relational database that comes with a relational structure. This is used for managing structured data only. On the other hand, the NoSQL database doesn’t have any relational structure & they are used to store unstructured data types. For your convenience, we have shared a complete comparison of both databases below.

SQL Databases
NoSQL Databases
Mix of proprietary & open-source
Open source database
Comes with rational structure
No rational structure
Ideal for managing structured data
Best for storing unstructured & semi-structured data
Vertically scalable
Horizontally scalable
Examples: MySQL, PostgreSQL, Oracle, etc
Examples: MongoDB, Cassandra, Firebase, etc

Enterprises have deeply relied on SQL to manage all their databases in web apps, but as cloud, microservices & distributed applications become popular, there are NoSQL options also available. Before you choose the right database, you must consider a number of factors such as size, structure & scalability requirements. Apart from that, you need to consider some of the following questions also:
* What type of data structure do you need?
* What is the amount of data you want to store?
* What is your total budget?
* Does it allow for support contracts & software licenses?
* What is the requirement for your data security?
* What third-party tools do you want to add to your database?

Best Databases For Web Applications In 2024

Finding out the right database option for a web app development may impact the scalability and success of any project. With too many options available, it’s quite challenging to select which one is the best for you. 2024’s widely-popular databases include:

1. MySQL:

MySQL is one of the best open-source relational databases developed by Oracle Corporation in 1995. According to the Stack Overflow developer survey, this database was used by 46.8% as of 2022. The robustness, maturity, and stability of this database make it perfect for web applications. Moreover, MySQL database uses a structured language & written in C & C++.
Latest version: MySQL 8.0.33

Key features of MySQL database include:
* Easy to deploy & manage
* It supports Consistency, Atomicity, Isolation & Durability
* It’s an RDBMS or Relational Database Management System
* Provides fast-loading utilities with several memory caches to maintain servers
* Offers top-notch results without compromising any functionality
* Contains solid Data Security layers to offer complete security solutions

2. PostgreSQL:

Launched in 1996, PostgreSQL is also a very popular database used as a data warehouse or primary data store for web, analytics, geospatial and mobile applications. This is also an open-source SQL-based RDBMS (relational database management system) that supports C, C++, C#, Ruby, Java, Python, and other programming languages. This agile database is compatible with different OSs such as Windows, Linux, Unix, MacOSX, etc.
Latest version: PostgreSQL 15.3

Key features of the PostgreSQL database include
* Houses different constraints such as primary keys, foreign keys, exclusion constraints, explicit locks, advisory locks, etc
* Supports different SQL features like SQL Sub-selects, Multi-Version Concurrency Control,
* Streaming Replication, complex queries, etc.
* Compatible with different data types like Structured, Customizations, Primitives, Geometry & Documents.
* Supports MVCC or multi-version concurrency control

3. Microsoft SQL Server:

Launched in 1989, Microsoft SQL Server is a powerful RDBMS used for transaction processing, analytics applications, and business intelligence in IT environments. It comes with built-in intelligence & enables businesses to boost their performance, security, and availability seamlessly. MS SQL Server comes in different editions with authentication & security features.
Latest version: Microsoft SQL Server 2022

Key features of the Microsoft SQL Server database include:
* Available on both Linux & Windows platforms
* Supports semi-structured, structured, and spatial data
* It has a custom-built graphical integration
* Helps users build different designs and tables without syntax
* Comes with several features for protection, monitoring, and data classification
* Gives alerts on security gaps, misconfigurations & suspicious activities

4. MongoDB:

MongoDB is a document-oriented open-source NoSQL database used for high-volume data storage. Written in JavaScript, C++, and Python, this is a very flexible and scalable database platform that removes relational DB approaches. MongoDB offers a high level of flexibility through load balancing and horizontal scaling capacities. This is a perfect option for web apps that need high performance.
Latest version: MongoDB 6.0.5

Key features of the MongoDB database include:
* Effectively supports ad hoc queries
* Highly scalable & flexible database
* Offers schema-less database
* Appropriate indexing for query executions
* Replication for data availability & stability

5. Oracle:

Oracle is a very popular RDBMS that is known for its high-performance and cost-optimization solutions. This is a commercial relational database written in C, C++ & Java. Oracle comes with a relational database architecture that offers an easy, scalable, performant solution for accessing, defining, and managing data.
Latest version: Oracle 21c

Key features of the Oracle database include:
* Executes fast backup & recovery
* Provides multiple database support
* Offers superior scalability
* Offers better user controls and identity management
* Utilizes a single database for every data type

6. Redis:

Redis stands for Remote Dictionary Server and is a widely-used open-source database used for web applications and cache management. Redis can also be used with different streaming solutions like Amazon Kinesis & Apache Kafka to analyze & process real-time data.

This database also supports different data structures like lists, streams, bitmaps, strings, maps, and so on. Because of its high performance, Redis is vastly used in many sectors such as IoT, Gaming, Financial Services, etc.
Latest version: Redis 7.0.11

Key features of the Redis database include:
* Provides premium speed with improved caching & in-memory capabilities.
* Supports a variety of data structures (strings, hashes, lists, bitmaps, HyperLogLogs, etc)
* Compatible with different languages (Java, PHP, Python, C, C#, C++, etc)
* Offers quick access to data for training, deploying, and developing applications

7. Cassandra:

Released in 2008, Cassandra is a distributed open-source NoSQL database that effectively manages vast amounts of data. It provides excellent scalability that supports multi-datacenter replication and automatic data replication. Cassandra database is ideal for applications that need prompt data access with high performance.
Latest version: Cassandra 4.1.0

Key features of the Cassandra database include:
* Easy to scale
* Highly scalable & comes with strong architecture
* Offers flexibility for data distribution
* Faster linear-scale performance
* Very flexible data storage
* Supports properties like Consistency, Atomicity, Isolation, and Durability

How Much Does The Web Application Database Cost?

In general, the average web app development cost ranges from $5,000 to $100,000. However, this cost depends on too many parameters like web app database complexity, features & functionalities, backend infrastructure, etc.

If you want to get a proper estimation of your web database application cost, you can take advantage of a web app cost calculator. For your convenience, we have listed the average web application development costs based on their categories.
Factors
Basic Web Apps
Medium Apps
Complex Apps
Highly Complex Apps
Estimated cost
$3,000 to $15,000
$15,000 to $60,000
$60,000 to $2,50,000
More than $250,000
Timeline
    . to 5 weeks
    . to 20 weeks
    . to 25 weeks
More than 9 months
Features
Simple landing page
Static content
Landing page
Database integration
Admin panel
User accounts
Online payment options
Third-party integrations
Landing page
Huge database integration
Admin panel
Multipleuser accounts
Online Payment options
Third-party integrations
Personalized features
Landing page
Top-notch database integration
Admin panel
Customized features
Examples
Online brochures
Portfolio
websites
MVP
Web portals
E-commerce websites
Online gaming sites with animation
Web applications for businesses
Automated billing systems
Human resources management system (HRMS)
Complex ecommerce websites
Custom web apps
On-demand web apps
App for complex businesses
High-end features with AI/ML integration
Custom web apps

Final Words

In the past, the process of selecting a database web application was straightforward. However, in this modern era of software development, this process has become very intrinsic as too many options are available today and the business requirements have also transformed.

For a business that works with small apps, NoSQL databases like MongoDB can be the best choice & for managing large & complex applications, databases like MySQL, MS SQL Server, and PostgreSQL can be the right choice. Would you like to know more about web applications with databases? Talk to our experts today.

To bridge the gap between web-based and cloud-based applications, businesses often rely on skilled DevOps developers. These professionals play a crucial role in ensuring seamless integration, efficient customization, and robust back-end infrastructure for applications. The expertise of DevOps developers is indispensable for optimizing development workflows and enhancing collaboration between development and operations teams in the dynamic landscape of app development services.

In the realm of cloud computing, web based application in cloud computing play a pivotal role. Technically, web apps, as the name suggests, are applications hosted on remote servers & accessible through web browsers. On the other hand, cloud-based apps are web applications that come with advanced functionalities & elaborate compatibility.


In the realm of contemporary software development, the demand for innovative solutions is evident in the competition between web and cloud-based applications. These two platforms share similarities but diverge significantly in crucial aspects. This article will delve into the distinctions between web-based and cloud-based applications, exploring facets such as back-end infrastructure, scalability, and technical perspectives, shedding light on the nuances that developers navigate in this dynamic landscape, including the pivotal role of technologies like chatbot development.
What Is a Web Application?

A web-based app is an application designed and developed for the web browser. Unlike cloud based application development, the web app completely depends on the web server for functionality & processing. This application program is mainly stored on the remote server & delivered through a web browser interface over the internet. According to web application development company, web apps have client-server architecture & their codes are divided into 2 major components – server-side architecture & client-side architecture.

Server-side architecture: The server-side architecture or script usually deals with data processing. The web server can process a client request & send a response back. This web app architecture defines a simultaneous interaction between database instances, components, user interfaces, middleware systems, and servers.

Client-side architecture: The client-side architecture mainly deals with interface functionalities such as drop-down boxes and buttons. When a user clicks on the link, the browser will start loading the client-side script & rendering a text and graphic element for interaction.
Types of Web Apps
Nowadays, many businesses are already adopting various kinds of web-based applications because of their several advantages, features, and functionalities. 8 most popular types of web apps include:
    . Static Web Apps
Static web applications, constructed using HTML, CSS, and JavaScript, lack the flexibility of dynamic counterparts. These web based services provide content directly to users without requiring server-side modifications, resulting in simplicity and straightforward development. Key benefits of these apps include:
Very fast load time
Highly secure
Less complex to build
    . Dynamic Web Apps
This is a complex type that provides real-time data based on the server response and the user’s request. Dynamic web apps can be developed either as a conventional website with several pages and levels of navigation or as a single-page web application. They use several server-side and client-side languages to create web pages such as HTML, CSS, JavaScript, Python, PHP, Ruby, etc. Key benefits of dynamic web apps include:
Wider audience reach
Scalable in comparison to static web apps
Very flexible in terms of a new content update
    . Single Page Apps
A single page web app entirely runs on the browser & never requires browser reloading. This is actually a dynamic web app that manages all data on a single HTML page. This type of web app is faster than traditional websites as its logic is implemented in the browser directly than a server. Gmail, Netflix, Pinterest & Paypal are the best examples of single page applications. Key benefits include:
Enhanced user experience
Minimized server load
Improved app performance
    . Multiple-Page Apps
Multiple page apps are designed multiple pages separately and combined to form a website. They have different pages with static information like texts & images. Web based app development companies recommend using multiple-page apps as they offer excellent control over search engine optimization techniques. Major benefits of Multiple page apps include:
Ideal for SEO
Quick browser back or forward navigation
Simple to develop
    . Animated Web Apps
This is a type of web application that effectively supports synchronization & animation on the web platform. These applications are widely used by freelancers and creative companies to present their creativity better. Technically, JavaScript, HTML5, FLASH, and CSS are used to create animated web applications. Key benefits of AWAs include
Improved User Engagement
Enhanced Navigation
Excellent Branding
    . Web Apps with CMS
In this web application, content is updated constantly. It helps to manage, modify and create digital content with ease. WordPress is one of the best examples of CMS web applications. A variety of languages are used to create content management systems such as C#, PHP, Java, and Python. Key advantages of CMS web apps include:
Quick content creation & management
Efficient & quick updates
A vast range of features
    . E-commerce Web Apps
It’s a complicated and advanced dynamic web application that allows users to buy & sell goods electronically. These web based services encompass transaction and payment integration as key components, facilitating seamless order processing, payment acceptance, and logistical management for businesses involved in online commerce. Key benefits of these web apps include:
Scale business quickly
Offers customer insights through tracking & analytics
Sell goods across the world
    . Progressive Web Apps
Progressive web apps or PWAs are also called cross-platform web apps usually built with HTML, CSS, & JavaScript. PWAs use different features, APIs, and progressive methods to deliver a seamless experience. Progressive web apps boost the adaptability and speed of web applications. These apps are still easy to access if internet connectivity is poor. Key benefits of progressive web apps include:
Fast loading time
No installation required
Quickly respond to user interactions
Enhanced cross-platform conversion

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Type
Widely Used In
Advantages
Dynamic web apps
Social media
Healthcare
IT Industry
Logistics and transportations
Retail and ecommerce sectors
On-demand
Directly manage websites to update & change the information
Quick user management to protect servers & control all website users
Static web apps
Book publishing sectors
Works in offline mode
No 3rd party software installation required to access web apps
Single page apps
Email service
Communication sectors
Allows navigation & optimized routing experience
Keeps visual structure of web apps consistently through presentation logic
Multiple page apps
E-commerce sectors
Enterprise industries
Enables optimizing every page for the search engine
Allows users to access other pages
Animated web apps
Animation
Education
Gaming industries
Hold user attention for a very long time due to its attractive approach & unique design
Aspect ratios, landscape orientations, portrait, and viewing distances & different pixel densities are considered
Web apps with CMS
Blogging platforms
Sales & marketing platform
News portals
Easily organizes the web content Offers group & user functionality
Simple language support & integration
E-commerce web apps
E-commerce sectors
Allows sellers to sell products using a single platform
Helps you expand business globally & reach maximum audience
Progressive Web Apps
On-demand
Healthcare
Retail and e-commerce
Logistics and transportations
Social media
IT sectors
Responsive & Browser Compatibility Works in online & offline mode
Updates with no user interaction

Key Benefits of Web Apps
Web apps enable businesses to interact with their customers more efficiently. These applications can make it easy to track & measure data that are essential to keep business operations streamlined. Key advantages of web apps include:
Easily accessible through any kind of web browser
Runs on multiple platforms that make it cross-platform compatible
Minimizes the risk of compatibility issues
Requires less maintenance & support from the developer’s end
Helps to ease usability for the customers
Effectively eliminates hard drive space limitations
Apps can be maintained & updated without software reinstallation on several devices
Offers high scalability and flexibility
Simple to deploy, maintain, and update
The cost of routine maintenance is minimized as the data is stored on remote servers
What is a Cloud Based App?
These apps are online software programs with elements accessible via a local server and executed on the cloud environment. As internet-based software, cloud applications are stored in the remote data center & handled by cloud-service providers. These apps are used for file sharing & storage, order entry, word processing, inventory management, financial accounting, customer relationship management, data collection, etc.

According to the report, the global market size of cloud apps is projected to reach approx 168.6 billion USD by 2025. Cloud apps usually support several user requirements through customization and provide several services to meet storage, backup & security needs. Some major characteristics of cloud apps include:
Agile application
Microservices-oriented
API-backed
Continuously integrated & delivered
DevOps-enabled
Analytics-infused
User experience-centric
Types of Cloud-based Applications
Cloud apps are divided into three major cloud computing models – SaaS, PaaS, and IaaS. Each model also shows several parts of cloud computing stacks. Take a closer look at these types:
    . SaaS or Software as a Service
SaaS is one of the best cloud apps that enable users to easily access full-functioning software applications over the internet. These cloud applications are primarily designed for freelance services, large enterprises & SMBs. Some of the best examples of SaaS applications are HubSpot CRM, Wrike, MS Office 365, Sisense, Wix, etc.
    . PaaS or Platform as a Service
PaaS provides users with the infrastructure, computing platforms, and solutions to build their own applications. Platform as a Service is ideal for businesses that mainly engage in collaboration, testing, and development of cloud solutions. PaaS applications have a deployment environment including run-time system libraries, operating systems, and graphic UI. Some of the best examples of PaaS apps are Google App Engine, Microsoft Azure, Rackspace Cloud Sites, etc.
    . IaaS or Infrastructure as a Service
IaaS consists of basic building blocks that offer access to networking functionalities, features & data storage space. It enables users to outsource IT infrastructures like servers, processing, virtual machines, storage, networking & other resources. IaaS applications also offer a good level of management control and flexibility over IT resources. Some of the best examples of IaaS apps are Amazon WorkSpaces, IBM Cloud, Google Cloud, etc.
Benefits of Cloud Apps
Web based application in cloud computing boost productivity, accessibility, security, and data safety. They help businesses make the process of collaboration more effective and easier. Key benefits of cloud applications include:
Minimal service provider interaction & management effort
Provides large computing capabilities, online & offline
Provides access to information from any device or place
Offers fast access to important applications through cloud servers
The performance of the availability of cloud apps enhances profitability & streamlines workflows
Serves multiple consumers with virtual and physical needs
Provides high transparency to resource providers & consumers
Offers improved collaboration options
Web Apps Vs Cloud Apps – Key Differences
Web apps and cloud apps both come with a wide range of functionalities & have noticeable distinctions. Web-based applications usually are accessible via web browsers, whereas cloud app’s infrastructure and data aren’t only accessible through the web browser but also downloadable. So, all cloud apps are web apps with additional features. Other differences between web and cloud apps are listed below.

Parameters
Cloud apps
Web apps
Internet
Work partially or entirely without the internet connectivity
Work with the internet only
Security
Ensures high security measures for sensitive & confidential information
It can verify client info on authentic servers
Technology
It needs a back–end framework & a JavaScript-based structure like React Js, Angular, etc
It has inbuilt languages such as PHP, Python & Ruby, and databases like MySQL.
Access
It’s not dependent on the web browser
Accessed via the web browser only
Customization
Customization features improve functionalities.
Never provides customization and similar functionalities
Costs
Expensive as compared to web apps
Development cost is less than cloud apps
Types
SaaS, PaaS, IaaS, RaaS
Static web apps, dynamic web apps portal web apps, etc
Scalability
Inherently scalable
Limited scalability
Availability
High uptime
Limited uptime
Storage
Multiple replicated center
Single data center

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Final Words
Web apps and cloud apps both are continuing to deliver users as the most crucial touch point. Since they are packed with similarities and dissimilarities in terms of software architecture, storage, and other aspects, selecting the right application always depends on customer preferences, business needs, and operations. Are you planning to build a custom web application or looking for web app development services? Get in touch with our experts for complete assistance.

It seems like this question gets asked every year, as for some reason the perception surrounding PHP is that it is a language used by hobbyists, or a dying language - a programming language on its way out.

Before we take a look at "is PHP being used less," let's start with some critical points to consider when choosing a programming language to learn/ invest in.

PHP powers ~80% of the web

The first point is how popular PHP is as a program language. Recently in a podcast a debate around PHP was raised, with the question being is it an "enterprise" language. The argument against PHP is that it is not widely adopted by enterprises for enterprise application development - or apps that are traditionally developed in Java or .Net.

The key here is understanding that every tool has its strengths and weaknesses, and there are times where using a compiled language such as Java is a smarter move than using PHP. As always, you want to choose the right tool for the job, and PHP as a programming language excels for web applications. That's why today it powers nearly 80% of the websites on the internet! I want to repeat that number, nearly 80% of websites on the internet!

In the podcast, after the initial argument that PHP was not an enterprise language, I had one question to ask - "can you name one enterprise that doesn't use PHP?" Despite the misconception that PHP is not an enterprise language, nearly every enterprise utilizes PHP in some fashion (many for their website, blog, or internal tools). While PHP may not power the app they offer as a service (although for many companies it does), it powers just as critical of offerings that help drive success for the company.

PHP made Yahoo, Facebook, and Tumblr possible

It's not just personal blogs running on a WordPress install, or small sites running on Drupal (btw, both of these power high traffic, well known web properties), but PHP actually makes development for the web easier and faster. Because it is not a compiled language and is designed to scale, companies are able launch faster, add new features as they go, and grow to enormous scale.

Some of the sites that started with PHP include Yahoo, Facebook, Tumblr, Digg, Mailchimp, and Wikipedia! But it's not just older platforms that started off and have grown to scale with PHP - Etsy, Slack, Baidu, Box, and Canva also got started with PHP! Read why Slack chose PHP

In fact, according to BuiltWith, PHP powers 53.22% of the top 10k websites!

Programming languages don't just disappear

Understanding the prevalence of PHP today, and how often it is used is critical to understanding the longevity of PHP. Despite the radicalized idea, programming languages (and thus programming jobs) do not just disappear overnight. Today you can still find jobs writing code used in mainframes - such as Fortran or Cobol.

As long as companies have applications that use PHP, they'll need someone who knows PHP to maintain the application. And with PHP actively being developed and maintained (PHP 8 having just been released), and PHP powerhouses like WordPress, Drupal, SugarCRM, and others powering websites and apps around the world, it's a safe bet PHP won't be going anywhere anytime soon.

But with the basics out of the way, let's look at how PHP has faired over the years.

PHP usage over the years

While there is no exact measurement that determines how programming languages are ranked, there are several different rankings we can look at to see how a language has evolved over the years, and where it ranks today.

GitHub's most popular programming languages

Every year GitHub releases a report of the most popular languages being used to create repositories on GitHub.com. While this isn't an exact way to quantify a programming language, it does help us understand what languages developers are using and promoting for their applications. It also helps us see how lively the community itself is.

In 2014, PHP was ranked as the 3rd most popular programming language, being beat out only by JavaScript and Java. With the emergence of Typescript, C# moving open source, and increased usage of Python for AI - PHP did drop - and was the 6th most popular programming language on GitHub for 2020.

PHP's ranking on the Tiobe index

Another index for software popularity is the Tiobe index, which bases their ratings off of the number of search engines for programming languages. This index is heavily relied on by companies when making programming and investment decisions, especially in developer marketing.

Like with GitHub, PHP has also seen a decline in the Tiobe index. Ranked 8th last year for all languages, PHP dropped to 9th place, being outranked by the C languages (C, C#, C++), Java, Visual Basic, Python, JavaScript, and Assembly. However, to put the rankings in contrast, PHP is 9th out of the 274 languages Tiobe tracks, and bests SQL, Ruby, Groovy, Go, and Swift.

You can see the latest Tiobe index (updated monthly) at: https://www.tiobe.com/tiobe-index/

PHP's ranking on BuiltWith

The last model we'll look at is BuiltWith. BuiltWith scans website headers to determine what a website is powered by, and like GitHub and Tiobe provides a ranking of programming language popularity and trends.

Builtwith provides an interesting perspective in that we can see an explosion of sites being built with PHP (nearly tripling from 2013 to 2016) before dropping and normalizing in 2017. From 2017 to present, the number of sites using PHP has remained almost constant.



This suggests (as with what we've seen with GitHub and Tiobe) that other languages have grown in popularity, such as JavaScript and Node.js. This doesn't mean that PHP is no longer being used or relied or, but rather that there is more competition and that there are other viable options whereas PHP stood alone at times in terms of being the goto language for web development.

Indeed, when we look at how PHP ranks amongst all technologies on BuiltWith, PHP receives the following BuiltWith awards:

• The most popular on the Entire Internet in Frameworks category.

• The most popular in the Top 10k sites in Frameworks category.

• The most popular in the Top 100k sites in Frameworks category.

• The most popular in the Top 1 Million sites in Frameworks category.

Conclusion

PHP's popularity has dropped from its height 10 years ago, however it still remains the most popular programming language powering the web. It's important to remember that every tool has pros and cons, and some of the bad rap PHP gets is when compared to languages designed to accomplish tasks or build programs that PHP was never designed to.

It's also important to remember a lot of early criticism for PHP came from it being a procedural programming language and not encompassing Object Oriented Programming capabilities. These capabilities were added in PHP 4 and with PHP 7 & 8 OOP has become a staple of the PHP language.

PHP is a viable, powerful language used by nearly every enterprise and many businesses large and small. In fact it powers over 50% of the top 10,000 websites on the web! With such large usage, popular tools such as WordPress, and an active community, it is safe to assume that PHP will remain a prominent language for years to come.

Artificial Intelligence has significantly transformed the way we work and interpret information. With technologies such as OCR, machine learning, deep learning, natural language processing, and computer vision; machines are now able to provide greater insights and perform tasks that typically required hours and hours of work from humans.

What is artificial intelligence?

A.I. or artificial intelligence is the technology that enables machines to perform tasks that usually require human intelligence. But instead of using human brains, A.I. uses different technologies such as computers, or even software algorithms, to perform tasks. Some of the most common A.I. technologies include speech recognition, voice recognition, machine translation, natural language processing, computer vision, and predictive analytics. The term artificial intelligence comes from the combination of artificial and intelligence. While artificial intelligence is a property of the physical world, intelligence is the property of the mind. How does it make sense in Web Development? As mentioned earlier, A.I. has significantly transformed the way we work and interpret information.

How is AI applied to web development?

In the majority of cases, AI is used to assist a developer in a number of functions: Automatically format existing content, analyze images for semantic meaning Break down complex tasks into smaller pieces Example applications of AI in web development Example image compression algorithms. Tools such as image recognition and machine learning have been key factors in the development of new image processing algorithms. Traditionally, manually processing an image was a lengthy and tedious process, but when computer vision was introduced into the process it drastically decreased the amount of time required to complete this task. Now, programs such as image recognition can identify objects in images and classify them based on both visual and metadata attributes.

Machine learning

When data is fed into a machine learning algorithm, the machine learns to understand it. For instance, if you provide a machine learning algorithm examples of dogs verses blueberries, the machine will learn to identify what a picture of a blueberry looks like, verses a picture of a dog. Natural Language Processing Natural language processing is a sub-field of machine learning. You can apply natural language processing for reading emails, chatting, or writing blog posts (such as this one!). A good example of natural language processing in action can be found in Microsoft's Cortana. Deep learning This is the most popular type of artificial intelligence today.

Deep learning

Deep learning algorithms are very similar to how the human brain works, with its built in mechanisms to learn and memorise a vast amount of information. It's these connections that enable machines to be able to recognise patterns and learn from them. An example of this is Google Translate, which recognises more than a 1,000 languages. This isn't an example of AI but it shows how useful these programs can be. Deep learning is one of the hottest technologies in the field of machine learning and this explains why almost all of the major technology companies are pushing these advances forward.

Natural language processing

For example, your phone can understand you better when you speak to it. If you say “Hey, Siri,” your phone will listen to you and respond to your questions. In general, it means that the system has been trained and is able to better understand the context of what you’re trying to communicate. This type of Natural Language Processing is used in the majority of companies today, including the likes of Google and Apple, to improve the user experience, provide better customer service, and to aid in the effective execution of processes. Machine learning Machine Learning is an extremely powerful technique used to further improve the knowledge of artificial intelligence, as well as to make machines smarter by discovering patterns and generalities in vast amounts of data.

Computer vision

Computer vision is a technology that has been able to recognize objects in images and video for eons. A popular example is Apple's Siri, which was one of the first software to use computer vision to provide contextual awareness. AI is built on this technology, providing the capability to recognize various images and videos. The industry is still in its infancy, but what we have seen so far has been incredibly incredible. What's amazing is that just a few years ago we thought that vision was completely under our control, but now, it has evolved to understand the nuances of objects.

Conclusion

“In the year 2050, the Amazon book you ordered for your Kindle will be delivered by a drone.”

This futuristic statement by Amazon CEO Jeff Bezos did leave you pondering. But it is one thing to dream about the future and another thing to think about the innovations taking place in the present and how you can exploit them to drive better business results. To make the most of the technologies coming to our everyday lives, we must acquire a knowledge of the AI technology, its features, and its application. Succeeding in today’s competitive and challenging business world, requires a broad set of skills such as coding, business analysis, computer programming, and ecommerce marketing.

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In his talk Websockets in PHP, John Fransler walks us through the use of WebSockets in PHP.

While discussing bi-directional real-time application development, John notes that PHP is often not invited to the table due to its lack of native support. Of all the possible attempts to bring in PHP on this stage of real-time development, Ratchet, a PHP WebSocket library, comes closest. "Ratchet is a loosely coupled PHP library providing developers with tools to create real-time, bi-directional applications between clients and servers over WebSockets."* Ahem!

Today's dynamic world

In today's dynamic content world of the internet, it is required to serve real-time bi-directional messages between clients and servers. WebSockets are simple, full-duplex, and persistent. They work over Http and are a standard today.

WebSockets have compatibility with 96.5% of clients globally

There's a very high chance your client has the necessary plumbing to access your content via WebSockets. WebSockets gives the ability to have real-time data on to your clients without the need for polling.

To understand WebSockets, John takes an example of a Javascript client and Ratchet Server. Javascript has everything built in to allow access to a socket. For example, you can use the send method on a WebSocket variable to send a message to the server, or if you want to respond to a message from the server, you use the OnConnection method.

While on the Server, John uses Ratchet, which is built on React PHP. A server script is then configured and set up to run and listen on a port for incoming HTTP requests. For messages, JSON is used, and to find public methods, a router is set up. He then goes on to instantiate the server-side script in Ratchet.

There are four functions of a Ratchets message component interface that are used in this example:

OnOpen gets called when a new connection is made.

OnClose gets called when a client quits. It's essential to keep an eye on memory management, and essential to keep tidying up as you move through the code.

OnError gets called when there is an exception faced by the user.

OnMessage gives the text of the JSON message, which is being exchanged with the client.

For Initialization, Jason continues to walk through the example. He shows how one can loop through the clients, both inside the server and outside the server. Outside the server, it’s a feature of React PHP. On database access, and with traditional standard synchronous MySQL in PHP, what usually happens is that it forces the code to wait for the query to return a result and do nothing — Fortunately, with Asynchronous MySQLi, that is not the case.

John gets into the details explaining Variables, References & Pointers. He also gives a demo where a central site has updated information on the Bitcoin and ether prices. A client terminal reflects the last values. Now the client doesn't have to poll the server for new values. When there is a change in the Bitcoin or ether values, the server pushes down the client's update. No polling helps with a lot of overheads and gets closer to real-time.

Using Supervisord

For Long-running applications - Jason recommends running a supervisord, use proxy to expose the port, and add a site certificate. Supervisord keeps an eye out for the server running the service; it can be used to restart the service and log any service issues. Recommended proxies are AWS load balancer, Nginx, and HA Proxy. For scalability, use multiple smaller WebSocket servers and a smaller number of clients per server used and load balancing. If one has to support a chat feature to allow clients to talk to each other in near real-time, it is recommended to use Redis. The Redis server proxies the messages between the server nodes.

The talk concludes with John summarizing best practices on error handling and takes QnA on various aspects of WebSockets such as handling load balancers and asynchronous calls to MSQLi.

The presentation for this video, along with the code, is hosted at John Curt's GitHub. More info about John's current areas of interest can be found on John's Blog.

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